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An expert system for water quality modelling.

W G Booty1, D C Lam, A G Bobba

  • 1National Water Research Institute, Rivers Research Branch, Environment Canada, Burlington, Ontario, Canada.

Environmental Monitoring and Assessment
|November 15, 2013
PubMed
Summary
This summary is machine-generated.

The RAISON-micro expert system aids in predicting mine effluent impacts on Ontario waters. This advanced system helps select appropriate water quality models for regulatory and industry use.

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Area of Science:

  • Environmental Science
  • Water Quality Management
  • Expert Systems

Background:

  • Mine effluents pose risks to aquatic ecosystems.
  • Regulatory agencies and mining industries require tools to assess and manage these impacts.
  • Previous studies demonstrated the potential of the RAISON-micro system.

Purpose of the Study:

  • To further develop and apply the RAISON-micro expert system for predicting mine effluent effects.
  • To enhance the system's capability in guiding users to select the most suitable water quality model.
  • To demonstrate the system's utility for regulatory and industrial applications in Ontario.

Main Methods:

  • Development of a hierarchical model structure within the expert system.
  • Incorporation of seven distinct water quality models (steady-state to time-dependent, conservative and non-conservative substances).
  • Implementation of a menu-driven interface to prompt users for site-specific and effluent data.

Main Results:

  • The RAISON-micro system effectively guides users in selecting appropriate water quality models.
  • The system can infer environmental conditions not explicitly provided in databases, such as river flow components.
  • Successful application demonstrated for mine sites in the Timmins area, Ontario.

Conclusions:

  • The enhanced RAISON-micro expert system is a valuable tool for predicting mine effluent impacts.
  • It assists regulatory agencies and mining industries in defining acceptable effluent limits.
  • The system improves the selection and application of water quality models for environmental management.